Data ExplorationCross-domain transaction
Combine two parameters from different domains
Data from two domains meets on a shared linking key, a lecturer, a student, or a study programme, and is then counted by faculty, study programme, or year.
Data ExplorationCross-domain transaction
Data from two domains meets on a shared linking key, a lecturer, a student, or a study programme, and is then counted by faculty, study programme, or year.
Journal quartile = Q4 ∩ Academic rank = Lektor
Scholarly Publication × Human Resources › By faculty · 2025 · Counted: Lecturers
| No | Faculty | A · lecturers | B · lecturers | A ∩ B · lecturers | A ∩ B / A |
|---|---|---|---|---|---|
| 01 | FE | 20 | 59 | 8 | 40% |
| 02 | FH | 3 | 24 | 0 | 0% |
| 03 | FT | 38 | 81 | 13 | 34.2% |
| 04 | FK | 44 | 157 | 29 | 65.9% |
| 05 | FP | 40 | 50 | 10 | 25% |
| 06 | FKIP | 15 | 84 | 3 | 20% |
| 07 | FISIP | 4 | 37 | 1 | 25% |
| 08 | FMIPA | 28 | 50 | 7 | 25% |
| 09 | Fasilkom | 9 | 32 | 2 | 22.2% |
| 10 | FKM | 19 | 19 | 4 | 21.1% |
Counted per lecturer: a lecturer counts once however many records they have.